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The best way to restructure the output tensor of a cnn layer to be used by a linear layer in an easy pytorch product three
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be equal to the entire range of components in the original tensor (18 inside our instance). One more matter to watch is usually that we made use of a -1 in on the list of destinations in Each individual of the shape tuples.
I feel an excellent instance (prevalent situation early on in pytorch before the flatten layer was official extra was this frequent code):